Articles | Volume 21, issue 7
https://doi.org/10.5194/acp-21-5605-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/acp-21-5605-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Technical note
| 
12 Apr 2021
Technical note |
| 12 Apr 2021
| 12 Apr 2021
Technical note: Measurement of chemically resolved volume equivalent diameter and effective density of particles by AAC-SPAMS
Long Peng
State Key Laboratory of Organic Geochemistry and Guangdong
Provincial Key Laboratory of Environmental Protection and Resources
Utilization, Guangzhou Institute of Geochemistry, Chinese Academy of
Sciences, Guangzhou 510640, China
University of Chinese Academy of Sciences, Beijing 100049, China
Institute of Mass Spectrometer and Atmospheric Environment, Jinan
University, Guangzhou 510632, China
State Key Laboratory of Organic Geochemistry and Guangdong
Provincial Key Laboratory of Environmental Protection and Resources
Utilization, Guangzhou Institute of Geochemistry, Chinese Academy of
Sciences, Guangzhou 510640, China
Guangdong-Hong Kong-Macao Joint Laboratory for Environmental
Pollution and Control, Guangzhou 510640, China
Xubing Du
Institute of Mass Spectrometer and Atmospheric Environment, Jinan
University, Guangzhou 510632, China
Xinming Wang
State Key Laboratory of Organic Geochemistry and Guangdong
Provincial Key Laboratory of Environmental Protection and Resources
Utilization, Guangzhou Institute of Geochemistry, Chinese Academy of
Sciences, Guangzhou 510640, China
Guangdong-Hong Kong-Macao Joint Laboratory for Environmental
Pollution and Control, Guangzhou 510640, China
Ping'an Peng
State Key Laboratory of Organic Geochemistry and Guangdong
Provincial Key Laboratory of Environmental Protection and Resources
Utilization, Guangzhou Institute of Geochemistry, Chinese Academy of
Sciences, Guangzhou 510640, China
Guangdong-Hong Kong-Macao Joint Laboratory for Environmental
Pollution and Control, Guangzhou 510640, China
Guoying Sheng
State Key Laboratory of Organic Geochemistry and Guangdong
Provincial Key Laboratory of Environmental Protection and Resources
Utilization, Guangzhou Institute of Geochemistry, Chinese Academy of
Sciences, Guangzhou 510640, China
State Key Laboratory of Organic Geochemistry and Guangdong
Provincial Key Laboratory of Environmental Protection and Resources
Utilization, Guangzhou Institute of Geochemistry, Chinese Academy of
Sciences, Guangzhou 510640, China
Guangdong-Hong Kong-Macao Joint Laboratory for Environmental
Pollution and Control, Guangzhou 510640, China
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Cited
9 citations as recorded by crossref.
- Direct measurement techniques for atmospheric aerosol: Physical properties review Y. Zhang & Y. Han 10.1016/j.atmosenv.2025.121034
- Theoretical Foundation of the Relationship between Three Definitions of Effective Density and Particle Size L. Peng & Y. Liu 10.3390/atmos13040564
- Different characteristics of individual particles from light-duty diesel vehicle at the launching and idling state by AAC-SPAMS B. Su et al. 10.1016/j.jhazmat.2021.126304
- Investigating aerosol chemistry using Real-Time Single Particle Mass Spectrometry: A viewpoint on its recent development X. Wang et al. 10.1016/j.apgeochem.2022.105554
- Mixing state and effective density of aerosol particles during the Beijing 2022 Olympic Winter Games A. Du et al. 10.5194/acp-23-13597-2023
- Development and characterization of a high-performance single-particle aerosol mass spectrometer (HP-SPAMS) X. Du et al. 10.5194/amt-17-1037-2024
- Analytical performance of single particle aerosol mass spectrometer for accurate sizing and isotopic analysis of individual particles Y. Su et al. 10.1016/j.atmosenv.2023.119759
- Algorithm for improving the sizing accuracy in real-time bioaerosol single particle mass spectrometer S. Li et al. 10.1016/j.jaerosci.2024.106501
- Cloud condensation nuclei (CCN) activity analysis of low-hygroscopicity aerosols using the aerodynamic aerosol classifier (AAC) K. Gohil & A. Asa-Awuku 10.5194/amt-15-1007-2022
9 citations as recorded by crossref.
- Direct measurement techniques for atmospheric aerosol: Physical properties review Y. Zhang & Y. Han 10.1016/j.atmosenv.2025.121034
- Theoretical Foundation of the Relationship between Three Definitions of Effective Density and Particle Size L. Peng & Y. Liu 10.3390/atmos13040564
- Different characteristics of individual particles from light-duty diesel vehicle at the launching and idling state by AAC-SPAMS B. Su et al. 10.1016/j.jhazmat.2021.126304
- Investigating aerosol chemistry using Real-Time Single Particle Mass Spectrometry: A viewpoint on its recent development X. Wang et al. 10.1016/j.apgeochem.2022.105554
- Mixing state and effective density of aerosol particles during the Beijing 2022 Olympic Winter Games A. Du et al. 10.5194/acp-23-13597-2023
- Development and characterization of a high-performance single-particle aerosol mass spectrometer (HP-SPAMS) X. Du et al. 10.5194/amt-17-1037-2024
- Analytical performance of single particle aerosol mass spectrometer for accurate sizing and isotopic analysis of individual particles Y. Su et al. 10.1016/j.atmosenv.2023.119759
- Algorithm for improving the sizing accuracy in real-time bioaerosol single particle mass spectrometer S. Li et al. 10.1016/j.jaerosci.2024.106501
- Cloud condensation nuclei (CCN) activity analysis of low-hygroscopicity aerosols using the aerodynamic aerosol classifier (AAC) K. Gohil & A. Asa-Awuku 10.5194/amt-15-1007-2022
Latest update: 01 Apr 2025
Short summary
We build a novel system that utilizes an aerodynamic aerosol classifier (AAC) combined with a single-particle aerosol mass spectrometry (SPAMS) to simultaneously characterize the volume equivalent diameter (Dve), chemical compositions, and effective density (ρe) of individual particles in real time. A test of the AAC-SPAMS with both spherical and aspherical particles shows that the deviations between the measured and theoretical values are less than 6 %.
We build a novel system that utilizes an aerodynamic aerosol classifier (AAC) combined with a...
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